title: The influence of pre-admission tracks on students' academic performance in a medical programme: Universiti Sains Malaysia.
abstract: BACKGROUND
  An aim of medical schools is to select the most suitable candidates who are more likely to become good doctors, fulfilling societal expectations. It is imperative to better understand the influence of 'selection' variables on students' academic performance. We conducted a retrospective record review (3R) to examine the predictive power of pre-admission tracks on academic performance in the medical programme at the Universiti Sains Malaysia.
  
  
  METHODS
  Data were collected on medical graduates' of the university for the years 2003 through 2007. This represented 805 graduates after exclusion of 42 for incomplete and inconsistent data related to the analysis.
  
  
  RESULTS
  A total of 95% of the graduates were included in this analysis; 67% were female. Of the 805 graduates, 75% were from the Matriculation course track, 22% from the High School Certificate (HSC) course and 1% from other pre-admission tracks. There was 2% missing information. The majority (79%) were Biology majors and 13% were Physics majors. Graduates from the HSC course and with a Biology background demonstrated a strong correlation with positive academic performance (P < 0.05) compared with other groups.
  
  
  CONCLUSIONS
  The HSC track and Biology background may be helpful for the medical school in selecting future students.
authors.affiliation: Department of Medical Education, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia. hafiza@kb.usm.my
authors.forename: H
authors.initials: H
authors.lastname: Arzuman
authors.forename: R
authors.initials: R
authors.lastname: Ja'afar
authors.forename: N M R M
authors.initials: NM
authors.lastname: Fakri
mesh_terms: D003479:Curriculum; D004501:Education, Medical / Q000592:standards / Q000706:statistics & numerical data; D004516:Education, Premedical / Q000592:standards / Q000706:statistics & numerical data*; D004521:Educational Measurement; D005260:Female; D006801:Humans; D008296:Malaysia; D008297:Male; D012189:Retrospective Studies; D013337:Students, Medical / Q000706:statistics & numerical data*